John Wagster is a Senior Software Engineer and architect focused on vector search, NLP, and intelligent systems, currently advancing vector databases and Lucene at Elastic. With a background spanning research scientist to VP of Engineering, he blends hands-on algorithmic work (CRFs, neural nets, deep learning) with product-minded architecture and team leadership. He has shipped core contributions to Elasticsearch—improving multi-value sparse vectors and script-score explanations—bringing open-source impact to production search systems. Comfortable in Java, Scala, Python and system administration, he repeatedly bridges data science, security, and scalable deployment for enterprise-grade analytics. Notably, his career balances deep probabilistic modeling expertise with practical productization experience gained across long tenures at Digital Reasoning and leadership roles building cross-functional engineering teams.
2 years of coding experience
18 years of employment as a software developer
BS Computer Science, BS Computer Science at Case Western Reserve University
MS Computer Science, MS Computer Science at Vanderbilt University
Free and Open Source, Distributed, RESTful Search Engine
Role in this project:
Back-end Developer
Contributions:110 reviews, 57 PRs, 17 pushes in 10 months
Contributions summary:John primarily contributed to the core functionalities of the Elasticsearch search engine. Their work involved implementing support for multi-value sparse vectors, enhancing the explanation functionality for script score queries and improving the user dictionary feature. The changes included code modifications to improve data handling and the parsing of user provided dictionary entries.
Contributions:1 review, 7 PRs, 61 pushes in 9 months
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John Wagster - Senior Software Engineer at Elastic